65 citations · 155 across the 7 of their papers we have counts for
7 papers
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
Wei Tang, Benfeng Xu, Yuyue Zhao +4
Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations. Existing works suffer from 1) heterogeneous representa…
Celeritas: Fast Optimizer for Large Dataflow Graphs
Hengwei Xu, Yong Liao, Haiyong Xie +1
The rapidly enlarging neural network models are becoming increasingly challenging to run on a single device. Hence model parallelism over multiple devices is critical to guarantee…
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search
Yingguang Yang, Renyu Yang, Yangyang Li +5
Social bots are referred to as the automated accounts on social networks that make attempts to behave like human. While Graph Neural Networks (GNNs) has been massively applied to t…
Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace
Pengyuan Zhou, Benjamin Finley, Lik-Hang Lee +3
AI plays a key role in current cyberspace and future immersive ecosystems that pinpoint user experiences. Thus, the trustworthiness of such AI systems is vital as failures in these…
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
Jian Ni, Shanghang Zhang, Haiyong Xie
Generalized zero-shot learning (GZSL) is a challenging class of vision and knowledge transfer problems in which both seen and unseen classes appear during testing. Existing GZSL ap…
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference
Xianfeng Tang, Boqing Gong, Yanwei Yu +4
Real-time traffic volume inference is key to an intelligent city. It is a challenging task because accurate traffic volumes on the roads can only be measured at certain locations w…
MetaFlow: a Scalable Metadata Lookup Service for Distributed File Systems in Data Centers
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
In large-scale distributed file systems, efficient meta- data operations are critical since most file operations have to interact with metadata servers first. In existing distribut…